A Lightning Introduction to the Hartree Centre

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A Lightning Introduction to the Hartree Centre Alison Kennedy Director | STFC Hartree Centre | UK Who are we? STFC’s high performance computing, data analytics and cognitive technology centre Provides businesses (and researchers) with access to powerful technologies, facilities and scientific computing expertise Primary purpose is to apply the latest capabilities in computing technologies to commercial challenges Our mission To transform UK competitiveness by facilitating and accelerating the adoption of high performance computing, data-centric computing and cognitive technologies. Lenovo / Arm development system Research & innova:on Development & Be#er products & services Deployment through collaboraon prototyping delivered faster & cheaper Logical Innovation Framework Research Invent Engineer Commercialise Market What is our Unique Selling Proposition? The Innovation Return On Research (IROR or “Phase 3”) programme gives us the opportunity to bring these three key technologies together. Tangible Digital Assets • Workflow is the definition, execution and automation of business processes, for co-ordination and synchronisation (driven by increasing data volumes) • Improved productivity • Faster business reaction time • Improved accountability and transparency • A Digital Asset is a “building block” that comes in a binary format with the right to re-use • Software packages, modules, tools, datasets etc. • Typically delivered in a “container” with its own operating environment Our machines Intel platforms Accelerated & emerging tech Bull Sequana X1000 Maxeler FPGA system Lenovo NeXtScale | 8,192 cores ARM 64-bit platform Lenovo System x iDataPlex system | 2048 cores Clustervision novel cooling demonstrator Intel Xeon Phi | Knight's Corner IBM big data analytics cluster | 288TB IBM data centric platforms IBM Power8 + NVLink + Tesla P100 IBM Power8 + Nvidia K80 .

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High-Performance Computing and Big Data Challenge Dr Violeta Holmes Matthew Newall The University of Huddersfield Outline • High-Performance Computing – E-Infrastructure – Top500 -Tianhe-II – UoH experience: HPC resources and applications • Big Data – Hadoop – Case study: Close Call • Summary High-Performance Computing • The HPC and Big Data are new technologies vital for the advancement in science, business and industry. • ”High Performance Computing (HPC) and e- infrastructure in general are drivers of economic growth and societal well-being. They are also vital for maintaining international competitiveness in the generation of knowledge and its application.”(Kenway, Coveney, McGuire, Parchment, & Parsons, 2012) Where we were 50s-early 80s • Centralised computing facilities • Dummy Terminals • Punch cards • Batch Processing μ Processors • Allowed users to have “intelligent” machines under their table – Seen as an expensive typewriter – Few organisations and educational institutions had them • These machines were quickly overtaking Mainframes in price-performance factors, and later overtaking them in performance. 90s – early 2000 • Information on Demand - For the first time sharing and communicating became easy and quick. Where we are now • Efficient Multitasking Desktops • Capable Workstations • Mobile Devices – less capable Through the use of middlewares: • Clusters • Grids The 5th Utility Utility Computing/Cloud Computing/On- Demand Computing/Service Computing • The concept of just plugging in your problem into a computer system and getting results. • Defined as: “A large-scale distributed computing paradigm that is driven by economies of scale, in which a pool of abstracted virtualised, dynamically-scalable, managed computing power, storage, platforms and services are delivered on demand to external customers over the internet.” (Foster et al.
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